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to CSRankings. Further information about research at the Department is available here: https://di.ku.dk/english/research/ . SODAS is an interdisciplinary social data science center at the Faculty of Social
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structures, forms of organisation, argumentative strategies and historical distinctiveness remain insufficiently understood. The postdoc will be based at CFA and will work primarily on the work packages led by
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of 4 years. The position is anchored in the IKE research group (Innovation, Knowledge and Economic Dynamics) and is connected to Aalborg University’s Innovation Academy. The postdoc will contribute
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potential of humans and artificial intelligence (AI) for the rapid and reliable construction of digital systems, guided by rigorous mathematical foundations. Our current main instrument to pursue
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at Universities (the Appointment Order) and the Ministerial Order on Job Structure for Academic Staff at Universities (in Danish) and protocol on certain terms of employment of academic staff at universities (in
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international network of collaborators and visitors. Further information: Department of Computer Science: https://www.science.ku.dk/english/about-the-faculty/organisation/ Faculty of Law: https://jura.ku.dk
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nitrogen dynamics, and climate change mitigation potentials in agroecosystems. You will be contributing specifically to the area of regional simulation using process-based models and advanced statistical
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the clinical specialties. Read more about the Department of Clinical Medicine here We offer We offer an exciting postdoc position in a dynamic, informal, high-performing environment with dedicated, friendly
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time for developing independent research ideas and leading first-author publications will be negotiated. The position is embedded in a collaborative team structure and offers supported opportunities
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. The position is closely connected to our activities within automated quality assurance and structural health monitoring of wind energy components and your work will contribute to the development of new knowledge